The ColabFit Exchange is an online resource for the discovery, exploration and submission of datasets for data-driven interatomic potential (DDIP) development for materials science and chemistry applications. ColabFit's goal is to increase the Findability, Accessibility, Interoperability, and Reusability (FAIR) of DDIP data by providing convenient access to well-curated and standardized first-principles and experimental datasets. Content on the ColabFit Exchange is open source and freely available.
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open
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natural sciencesmolecular chemistrychemical solid state and surface researchphysical and theoretical chemistrycondensed matter physicschemistryphysicsengineering sciencesmaterials sciencemicrostructural mechanical properties of materialscomputer scienceartificial intelligence, image and language processingmaterials science and engineeringcomputer science, electrical and system engineeringfirst principles datasetsinteratomic potentialsatomistic simulationsmolecular dynamicsmaterials propertiesartificial intelligencemachine learningfair
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If you plan to deposit your research data in this repository, go to https://colabfit.org.
More information about research data management
Borghi, J., Abrams, S., Lowenberg, D., Simms, S., & Chodacki, J. (2018). Support Your Data: A Research Data Management Guide for Researchers. Research Ideas and Outcomes, 4, e26439. https://doi.org/10.3897/rio.4.e26439
Goodman, A., Pepe, A., Blocker, A. W., Borgman, C. L., Cranmer, K., Crosas, M., … Slavkovic, A. (2014). Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Computational Biology, 10(4), e1003542. https://doi.org/10.1371/journal.pcbi.1003542
Pampel, H., Vierkant, P., Scholze, F., Bertelmann, R., Kindling, M., Klump, J., … Dierolf, U. (2013). Making Research Data Repositories Visible: The re3data.org Registry. PLoS ONE, 8(11), e78080. https://doi.org/10.1371/journal.pone.0078080